tensorflow版本与cudnn版本不对应，如tensorflow-gpu==1.1.0,cudnn==6.0

升级tensorflow-gpu到更高版本

tensorflow/core/kernels/conv_ops.cc:659] check failed: stream->parent()->getc的更多相关文章

  1. 2019-09-16 16:42:03.621946: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA Traceback (most recent cal

    -- ::] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA ...

  2. W tensorflow/core/platform/cpu_feature_guard.cc:45]

    W tensorflow/core/platform/cpu_feature_guard.cc:] The TensorFlow library wasn't compiled to use SSE3 ...

  3. ubuntu 18.04 64bit build tensorflow report error:C++ compilation of rule '//tensorflow/core/kernels:broadcast_to_op' failed (Exit 4)

    注意:笔者未能在Ubuntu18.04 64bit下成功从源码编译cpu版本的tensorflow Ans: 1.You are likely running out of memory. Try r ...

  4. I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

    遇到了这个问题,意思是你的 CPU 支持AVX AVX2 (可以加速CPU计算),但你安装的 TensorFlow 版本不支持 解决:1. 如果是初学者 或者 没有太大计算速度的需求,在开头加上这两行 ...

  5. I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

    问题: 安装TensorFlow(CPU版本),使用pip install tensorflow安装,安装一切顺利,但是在跑一个简单的程序时,遇到如下情况: 大概意思是:你的CPU支持AVX扩展,但是 ...

  6. 解决 warning I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2

    只需要加载如下代码: import os os.environ['

  7. I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 问题

    临时解决版本进入python后只需下面命令 import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

  8. Spyder中报错： Check failed: PyBfloat16_Type.tp_base != nullptr

    报错问题: 问题1:tensorflow/python/lib/core/bfloat16.cc:675] Check failed: PyBfloat16_Type.tp_base != nullp ...

  9. caffe: test code Check failed: K_ == new_K (768 vs. 1024) Input size incompatible with inner product parameters.

    I0327 20:24:22.966171 20521 net.cpp:849] Copying source layer drop7I0327 20:24:22.966179 20521 net.c ...

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